Literature DB >> 33806633

Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration.

Yiyang Sun1,2, Guolin Hou1,2.   

Abstract

Based on the panel data of 41 cities in the Yangtze River Delta from 2008 to 2017, this paper constructs an evaluation indicators system for urban tourism eco-efficiency. By measuring the tourism eco-efficiency in the Yangtze River Delta urban agglomeration, we analyze its spatial-temporal evolution characteristics. Furthermore, the modified gravity model and social network analysis are introduced to explore the spatial network structure of tourism eco-efficiency and its evolution trend.The results show that:(1) The overall eco-efficiency of tourism in the Yangtze River Delta region presents a fluctuating downward trend, among which Jiangsu and Zhejiang have high eco-efficiency, Shanghai and Anhui are relatively low. The gap within the region first increased and then decreased. (2) During this decade, the spatial network structure of tourism eco-efficiency in the Yangtze River Delta has become increasingly loose. The weakening of the network connection strength has led to a decrease in the regional tourism eco-efficiency to a great extent. (3) The network centrality of cities such as Zhoushan, Huzhou, and Huangshan has always maintained a high level, and these cities have firmly occupied the core position of network. (4) The spatial association network of tourism eco-efficiency can be divided into four blocks: "two-way spillover", "net spillover", "net benefit" and "agent". The synergy and spillover effect between various blocks are significant, and there is a spatial polarization trend centered on a few cities. Based on this, this paper puts forward optimization suggestions for the spatial network structure of the Yangtze River Delta urban agglomeration, in anticipation of promoting the improvement of regional tourism eco-efficiency.

Entities:  

Keywords:  Yangtze River Delta urban agglomeration; spatial network structure; spatial-temporal evolution; tourism eco-efficiency

Year:  2021        PMID: 33806633      PMCID: PMC7967336          DOI: 10.3390/ijerph18052577

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  13 in total

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Journal:  Int J Environ Res Public Health       Date:  2019-06-18       Impact factor: 3.390

4.  Nonlinear and Spatial Effects of Tourism on Carbon Emissions in China: A Spatial Econometric Approach.

Authors:  Chao Bi; Jingjing Zeng
Journal:  Int J Environ Res Public Health       Date:  2019-09-11       Impact factor: 3.390

5.  Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation.

Authors:  Yue Pan; Gangmin Weng; Conghui Li; Jianpu Li
Journal:  Int J Environ Res Public Health       Date:  2021-02-08       Impact factor: 3.390

6.  LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China's Tourist Industry.

Authors:  Dandan Liu; Dewei Yang; Anmin Huang
Journal:  Int J Environ Res Public Health       Date:  2021-01-29       Impact factor: 3.390

7.  Initiator or Intermediary? A Case Study on Network Relation of Environmental Regulatory Capture in China.

Authors:  Yu Tu; Benhong Peng; Ehsan Elahi; Weiku Wu
Journal:  Int J Environ Res Public Health       Date:  2020-12-08       Impact factor: 3.390

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  3 in total

1.  Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China.

Authors:  Dan Xue; Xianzong Li; Fayyaz Ahmad; Nabila Abid; Zulqarnain Mushtaq
Journal:  Int J Environ Res Public Health       Date:  2022-09-14       Impact factor: 4.614

2.  Evaluation of Tourism Development Efficiency and Spatial Spillover Effect Based on EBM Model: The Case of Hainan Island, China.

Authors:  Pengfei Zhang; Hu Yu; Mingzhe Shen; Wei Guo
Journal:  Int J Environ Res Public Health       Date:  2022-03-22       Impact factor: 3.390

3.  Research on the evolution of spatial network structure of tourism eco-efficiency and its influencing factors in China's provinces based on carbon emission accounting.

Authors:  Chao Wang; Lele Xu; Menglan Huang; Xiaofeng Su; Riwen Lai; Anxin Xu
Journal:  PLoS One       Date:  2022-09-14       Impact factor: 3.752

  3 in total

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